Title :
Synthesize control for an SIR model with nonlinear saturation infecctious force
Author_Institution :
Sch. of Math. & Syst. Sci., Shenyang Normal Univ., Shenyang, China
Abstract :
This paper is concerned with the Synthesize control of SIR epidemics model with nonlinear saturation infectious force, which not only isolate infective, but also take immunization and improve the sense of self-protection. The threshold of the models system is analyzed. In order to calculate the optimal values of the isolate rates, immune rates and self- protection rates, it constructs a performance index that is calculated explicitly as an algebraic function of the controller parameters by solving Zubov´s partial differential equation, and standard optimization techniques are employed. The ultimate aim is to eliminate the disease. The simulation result shows the method is viable and effectively.
Keywords :
diseases; optimisation; partial differential equations; SIR epidemics model; Zubov partial differential equation; algebraic function; controller parameters; nonlinear saturation infecctious force; self-protection; standard optimization techniques; synthesize control; Control system synthesis; Diseases; Force control; Influenza; Mathematical model; Nonlinear control systems; Optimal control; Partial differential equations; Performance analysis; Protection; SIR epidemics mode; Synthesize control; nonlinear saturation infectious force; threshold;
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
DOI :
10.1109/CCDC.2010.5498117